This policy note synthesizes the key messages and lessons from existing evidence and trends in the development, deployment and scale up of ICT-enabled marketing tools. It is based on the recently published discussion paper titled “Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there”. Key messages • Many digital innovations have been developed and deployed in recent years in Africa, many of which have only been implemented at pilot stages, with limited evidence of successful scaling. • There remains significant marketing and institutional constraints hindering the development of some of these digital innovations, which may further explain disparate progress in countries. • Differential access to digital innovations across genders and different typologies of households may trigger alternative variants of digital divide. • Although the landscape of digital innovations in Africa offers several reasons to remain optimistic, the prevailing disconnect between pilots and scale-ups merits further evaluation.

This paper presents results from a framed field experiment in which participants make decisions about extraction of a common-pool resource, a community forest. The experiment was designed and piloted as both a research activity and an experiential learning intervention during 2017-2018 with 120 groups of resource users (split by gender) from 60 habitations in two Indian states, Andhra Pradesh and Rajasthan. We examine whether local beliefs and norms about community forest, gender of participants, within-experiment treatments (non-communication, communication, and optional election of institutional arrangements (rules)) and remuneration methods affect harvest behaviour and groups’ tendency to cooperate. Furthermore, we explore whether the experiment and subsequent community debriefing had learning effects. Results reveal a “weak” Nash Equilibrium in which participants harvested substantially less than the Nash prediction even in the absence of communication, a phenomenon stronger for male than female participants in both states. For male groups in both states, both communication and optional rule election are associated with lower group harvest per round, as compared to the reference non-communication game. For female groups in both states, however, communication itself did not significantly slow down resource depletion; but the introduction of optional rule election did reduce harvest amounts. For both men and women in Andhra Pradesh and men in Rajasthan, incentivized payments to individual participants significantly lowered group harvest, relative to community flat payment, suggesting a possible “crowding-in” effect on pro-social norms. Despite the generally positive memory of the activity, reported actual changes are limited. This may be due to the lack of follow-up with the communities between the experiment and the revisit. The fact that many of the communities already have a good understanding of the importance of the relationships between (not) cutting trees and the ecosystem services from forests, with rules and strong internal norms against cutting that go beyond the felling of trees in the game, may have also meant that the game did not have as much to add. Findings have methodological and practical implications for designing behavioral intervention programs to improve common-pool resource governance.

Agricultural mechanization in Africa south of the Sahara - especially for small farms and businesses - requires a new paradigm to meet the needs of the continent's evolving farming systems. Can Asia, with its recent success in adopting mechanization, offer a model for Africa? An Evolving Paradigm of Agricultural Mechanization Development analyzes the experiences of eight Asian and five African countries. The authors explore crucial government roles in boosting and supporting mechanization, from import policies to promotion policies to public good policies. Potential approaches presented to facilitating mechanization in Africa include prioritizing market-led hiring services, eliminating distortions, and developing appropriate technologies for the African context. The role of agricultural mechanization within overall agricultural and rural transformation strategies in Africa is also discussed. The book's recommendations and insights should be useful to national policymakers and the development community, who can adapt this knowledge to local contexts and use it as a foundation for further research.

This study—which includes a pilot intervention in Kenya—aims to further the state of knowledge about the emerging trend of disruptive agricultural technologies (DATs) in Africa, with a focus on supply-side dynamics. The first part of the study is a stocktaking analysis to assess the number, scope, trend, and characteristics of scalable disruptive technology innovators in agriculture in Africa. From a database of 434 existing DAT operations, the analysis identified 194 as scalable. The second part of the study is a comparative case study of Africa’s two most successful DAT ecosystems in Kenya and Nigeria, which together account for half of Sub-Saharan Africa’s active DATs. The objective of these two case studies is to understand the successes, challenges, and opportunities faced by each country in fostering a conducive innovation ecosystem for scaling up DATs. The case study analysis focuses on six dimensions of the innovation ecosystem in Kenya and Nigeria: finance, regulatory environment, culture, density, human capital, and infrastructure. The third part of the study is based on the interactions and learnings from a pilot event to boost the innovation ecosystem in Kenya. The Disruptive Agricultural Technology Innovation Knowledge and Challenge Conference in Nairobi, Kenya, brought together more than 300 key stakeholders from large technology companies, agribusiness companies, and public agencies; government representatives and experts from research and academic institutions; and representatives from financial institutions, foundations, donors, and venture capitalists. Scaling Up Disruptive Agricultural Technologies in Africa concludes by establishing that DATs are demonstrating early indications of a positive impact in addressing food system constraints. It offers potential entry points and policy recommendations to facilitate the broader adoption of DATs and improve the overall food system.

An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains.

Achieving Zero Hunger, defeating poverty and accelerating sustainable inclusive growth are key objectives pursued by the African continent, particularly in the framework of the UN Agenda 2030 and the African Union Agenda 2063. However, the region has been facing persistent challenges resulting in high levels of food and nutrition insecurity, rampant poverty, environmental threats, underperformance of the agrifood sector, unemployment and under-employment for young (male and female) people, especially in rural areas. Addressing the challenges and seizing the available opportunities require news skills, capabilities and product development, which notably involves strongly anchoring digital technologies in all business processes. Falling costs of digital technologies and their popularisation are driving innovations to develop solutions to improve the productivity, incomes and resilience of farmers and food systems. This includes the building of more adaptive and agile value chains through use of data, leveraging the power of satellite observation and geodata to address pest and disease threats; the development of novel solutions for supporting farmers’ social protection; and the enhancement of traceability systems applied to food products from farm to fork. The COVID-19 impacts have demonstrated even more the need to mainstream digital solutions in agrifood business, policy and development programme implementation processes